Statistical distributions for the size of fatigue-initiating defects in Al–7%Si–0.3%Mg alloy castings: A comparative study

Tiryakioğlu, Murat

doi:10.1016/j.msea.2008.06.023

Cited by 37 publications

(25 citation statements)

References 49 publications

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“…The Weibull statistics [19] has been widely used to describe the statistical behavior of bending or tensile strength for many materials, such as ceramics [20], metal matrix composites [21], ceramic matrix composites [22]. The Weibull distribution has also been applied to the fatigue properties of metallic materials [23][24][25][26][27][28]. Two popular forms of this distribution are twoand three-parameter Weibull distributions.…”

Section: Statistical Analysis Of Fatigue Strength Datamentioning

confidence: 99%

Fatigue strength scatter characteristics of JIS SUS630 stainless steel with duplex S–N curve

Mohd

Bhuiyan

Nie

et al. 2016

International Journal of Fatigue

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The scatter behavior of fatigue strength for 17-4 PH stainless steel (JIS SUS630, equivalent to ASTM-A563 Grade 630), which exhibited a duplex S-N curve, was investigated. It was found that the fatigue strength scatter of the SUS630 at 10 6 and 10 7 cycles, which were corresponding to the fatigue strengths for the surface-induced and the subsurface-inclusion-induced crack nucleation modes, respectively, were significantly small and comparable to each other. The scatter of inclusion size in the present material was small and resulted in the small scatter of fatigue strength comparable to that for the surface-induced crack nucleation mode. The variation in size of non-metallic inclusions is known as one of the main factors for the fatigue strength scatter [1]. It was also found that the scatter of fatigue strength was in the same order of tensile strength.

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Section: Statistical Analysis Of Fatigue Strength Datamentioning

confidence: 99%

Fatigue strength scatter characteristics of JIS SUS630 stainless steel with duplex S–N curve

Mohd

Bhuiyan

Nie

et al. 2016

International Journal of Fatigue

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“…In order to enhance the survival probabilities of crucial cast components, it is therefore inevitable to consider local pore size distributions in the fatigue design process. Preliminary studies revealed that the statistical distribution of fatigue-initiating defect sizes in cast parts can be described well by extreme value statistics such as the generalized extreme value (GEV) distribution and extreme value distribution of type one [11,12,13,14]. The latter is also referred to as Gumbel distribution and facilitates the assessment of maximum extreme values of the distribution—see Equation (1) [15].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the approach in this work enables a statistical fatigue strength assessment which can be realised even early on in the design process by estimation of the defect distribution either by means of XCT scans or deduced by simulation of local cooling conditions. Hence, this paper scientifically contributes with the following research tasks:Experimental investigation of the impact of local defect population on the fatigue behaviour of Al-Si-Cu cast alloys.Estimation of crack initiation lifetime based on experimental analysis using in situ XCT scans.Extension of the fatigue lifetime model by Tiryakioglu [12] to additionally assess the fatigue strength in the long-life region.…”

Section: Introductionmentioning

confidence: 99%

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Modification of a Defect-Based Fatigue Assessment Model for Al-Si-Cu Cast Alloys

et al. 2018

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Cast parts usually inherit internal defects such as micro shrinkage pores due to the manufacturing process. In order to assess the fatigue behaviour in both finite-life and long-life fatigue regions, this paper scientifically contributes towards a defect-based fatigue design model. Extensive fatigue and fracture mechanical tests were conducted whereby the crack initiating defect size population was fractographically evaluated. Complementary in situ X-ray computed tomography scans before and during fatigue testing enabled an experimental estimation of the lifetime until crack initiation, acting as a significant input for the fatigue model. A commonly applied fatigue assessment approach introduced by Tiryakioglu was modified by incorporating the long crack threshold value, which additionally enabled the assessment of the fatigue strength in the long-life fatigue regime. The presented design concept was validated utilising the fatigue test results, which revealed a sound agreement between the experiments and the model. Only a minor deviation of up to about five percent in case of long-life fatigue strength and up to about 9% in case of finite-lifetime were determined. Thus, the provided extension of Tiryakioglu’s approach supports a unified fatigue strength assessment of cast aluminium alloys in both the finite- and long-life regimes.

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“…Therefore, the inhomogeneities and their statistically distribution regarding shape and spatial extent differ from each sample position to another. Tiryakioǧlu proposed in [15] that fatigue-initiating defect sizes in aluminum cast material can be properly described by Gumbel [16], see Equation (1) or the Generalized Extreme Value distribution [17], see Equation 2.…”

Section: Introductionmentioning

confidence: 99%

Application of a area -Approach for Fatigue Assessment of Cast Aluminum Alloys at Elevated Temperature

Aigner

Garb

Leitner

et al. 2018

Metals

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This paper contributes to the effect of elevated temperature on the fatigue strength of common aluminum cast alloys EN AC-46200 and EN AC-45500. The examination covers both static as well as cyclic fatigue investigations to study the damage mechanism of the as-cast and post-heat-treated alloys. The investigated fracture surfaces suggest a change in crack origin at elevated temperature of 150 ∘ C. At room temperature, most fatigue tests reveal shrinkage-based micro pores as their crack initiation, whereas large slipping areas occur at elevated temperature. Finally, a modified a r e a -based fatigue strength model for elevated temperatures is proposed. The original a r e a model was developed by Murakami and uses the square root of the projected area of fatigue fracture-initiating defects to correlate with the fatigue strength at room temperature. The adopted concept reveals a proper fit for the fatigue assessment of cast Al-Si materials at elevated temperatures; in detail, the slope of the original model according to Murakami should be decreased at higher temperatures as the spatial extent of casting imperfections becomes less dominant at elevated temperatures. This goes along with the increased long crack threshold at higher operating temperature conditions.

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Statistical distributions for the size of fatigue-initiating defects in Al–7%Si–0.3%Mg alloy castings: A comparative study

Cited by 37 publications

References 49 publications

Fatigue strength scatter characteristics of JIS SUS630 stainless steel with duplex S–N curve

Fatigue strength scatter characteristics of JIS SUS630 stainless steel with duplex S–N curve

Modification of a Defect-Based Fatigue Assessment Model for Al-Si-Cu Cast Alloys

Application of a area -Approach for Fatigue Assessment of Cast Aluminum Alloys at Elevated Temperature

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